Back to Search
Start Over
A reconstruction algorithm for human action based on LLE and KRR
- Source :
- International Journal of Modelling, Identification and Control. 20:215
- Publication Year :
- 2013
- Publisher :
- Inderscience Publishers, 2013.
-
Abstract
- Reconstruction of human action plays an important role in the field of image processing. In this paper, a new algorithm based on locally linear embedding (LLE) and kernel ridge regression (KRR) is proposed for the reconstruction of human action. On one hand, the images of colour and depth information are used to extract the human skeleton so that the training set of actions can be established. On the other hand, the training set is turned into an action vector library. Combined with the LLE algorithm, the human action of low-dimensional manifolds can be evaluated and the data of manifolds can be analysed. Furthermore, the human action can be reconstructed according to the KRR algorithms while the predicted convergence points of low-dimensional are inverse-mapped back to the high-dimensional Euclidean space. A lot of real experiments have been done to show that the proposed method of reconstruction of human action is greatly effective.
- Subjects :
- Training set
business.industry
Euclidean space
Applied Mathematics
Reconstruction algorithm
Image processing
Field (computer science)
Computer Science Applications
Human skeleton
medicine.anatomical_structure
Action (philosophy)
Modeling and Simulation
Convergence (routing)
medicine
Computer vision
Artificial intelligence
business
Mathematics
Subjects
Details
- ISSN :
- 17466180 and 17466172
- Volume :
- 20
- Database :
- OpenAIRE
- Journal :
- International Journal of Modelling, Identification and Control
- Accession number :
- edsair.doi...........f1e1ea8698cc48d34679951d049f2b9b